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AI Safety Fund is sponsored by Various, administered by Frontier Model Forum (supported by philanthropic funders including Schmidt Sciences, Chan Zuckerberg Initiative, and Sloan Foundation). The AI Safety Fund supports global research projects advancing responsible and safe development of advanced AI systems, focusing on urgent challenges like evaluation, biosecurity, cybersecurity, and governance.
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AI Safety Fund initiates first round of research grants - Frontier Model Forum AI Safety Fund initiates first round of research grants How the AI Safety Fund will advance the field of frontier model safety research At the FMF, we believe that fostering safe AI development and deployment requires cultivating a vibrant research community.
That’s why we’re supporting technical research to improve AI safety and enable independent, standardized evaluations of frontier AI capabilities and risks. The AI Safety Fund (AISF) is a $10 million+ initiative, born from a collaborative vision of leading AI developers and philanthropic partners.
Funders include the Frontier Model Forum’s founding members Anthropic, Google, Microsoft, and OpenAI, with support from philanthropic partners, including the Patrick J. McGovern Foundation, the David and Lucile Packard Foundation, Schmidt Sciences, and Jaan Tallinn.
Administered independently by the Meridian Institute, the AISF awards research grants to independent researchers to address some of the most critical safety risks associated with the proliferated use of frontier AI systems.
The purpose of the fund is to support and expand the field of AI safety research to promote the responsible development of frontier models, minimize risks, and enable independent, standardized evaluations of capabilities and safety. We seek to attract and support the brightest minds across the AI ecosystem to build frontier models aligned with human values.
The AI Safety Fund supports research on state-of-the-art, general purpose AI models. Funding will only be awarded to projects researching deployed versions of those models. The Artificial Intelligence Safety Fund (AISF) is pleased to announce the first round of research grants is being awarded to a diverse group of researchers investigating frontier AI safety.
This initial round will directly support research aligned with the principle objective of the AISF: to support and expand the AI safety research community to enable independent, standardized evaluations of frontier AI capabilities and risks, and to promote the responsible development of frontier AI models.
The initial grants will be awarded to solicited grantees researching new methods for evaluating the capabilities and risks of frontier models, including evaluations, red-teaming, and benchmarking. Grantee awards will be publicly announced on the AISF website in July.
Research outcomes will be publicly available on the website and additional opportunities to share work funded by the AISF will be considered with guidance from an Advisory Committee. While AI has tremendous potential to benefit the common good, appropriate testing, evaluation, and best practices are required to mitigate risks.
As AI is increasingly applied in high-stakes situations, ensuring safety is crucial to avoid negative outcomes and build public trust. From evaluations of dangerous capacities to ensuring alignment with human values, independent research is a critical element to ensuring frontier AI is developed and deployed safely.
In future open call grant rounds, the AISF will prioritize technical research in three core areas related to frontier AI models: Identifying safety-critical risks posed by frontier models Evaluating and assessing strategies for addressing such risks Implementing mitigations to prevent these risks from occurring The AISF is committed to supporting research from across the diverse field of AI safety, and is eager for input on the intended research agenda.
Researchers working on frontier AI safety from across disciplines who would like to share insights or inquire about how to participate should complete the research interest form HERE . For more information, please visit AISFund. org .
Progress Update: FMF Information Sharing of Frontier AI Threats and Vulnerabilities Annual Letter from the Executive Director Announcement of New AI Safety Fund Grantees
According to the current listing, eligibility includes: Global research projects advancing responsible and safe development of advanced AI systems. Confirm the full requirements in the official notice before applying.
The current listing shows $400,000 (Note: Another search result indicated a forecasted amount of $100,000 from Google and $400,000 from Frontier Model Forum). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for AI Safety Fund are due January 15, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
AI Safety Fund is funded by Various, administered by Frontier Model Forum (supported by philanthropic funders including Schmidt Sciences, Chan Zuckerberg Initiative, and Sloan Foundation). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Schmidt Sciences' 2026 Science of Trustworthy AI RFP closes May 17 with two funding tiers — up to $1M (Tier 1) and $1–5M+ (Tier 2) over 1–3 years, with a 10% indirect cost cap. The three research aims target misalignment under distribution shift, predictive-validity evaluations, and oversight of superhuman systems. Here is why the structure favors team-based proposals.
Read articleSchmidt Sciences opened a 'Scaling AI Safety for a Multi-Agent World' program with awards up to $1 million and an August 8, 2026 deadline. Against a backdrop of federal research slowdowns, here is why private science philanthropy matters more than ever, how these funders differ from federal agencies, and how researchers should approach them.
Read articleThe June 2, 2026 White House executive order on Promoting Advanced Artificial Intelligence Innovation and Security has been read primarily as a frontier-model regulation document. The provision likely to shape grantmaking over the next eighteen months is buried in the implementation section: OMB is directed to identify existing federal grant programs that can be redirected toward AI vulnerability detection, with explicit beneficiary categories naming rural hospitals, community banks, and local utilities. The order does not create a new grant program — it instructs existing programs to fund a new use of their existing dollars. The mechanics, the deadlines, and what eligible recipients should be doing now.
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